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Case Study · Pods Marketing technology

Sweet Analytics

30% reduction in global system latency through Karpenter-driven auto-scaling and consistent traffic management. so retailers in every region get insights in time to act on them rather than long after the campaign moment has passed

6 to 9 months
Engagement
5
Outcomes shipped

A UK marketing and customer analytics platform for eCommerce retailers came to Armakuni for privacy-first analytics platform modernization: container platform, clean rooms, encryption, automated deployments, database migration.

The challenge

A platform modernization engagement that delivered scalable, privacy-first infrastructure for an eCommerce analytics SaaS, replacing a legacy cloud environment that couldn't support the partner integrations and compliance posture the business needed to grow.

Scale: Marketing data automation platform serving eCommerce retailers, integrating with global data partners across multiple regions.

What we built

Armakuni delivered privacy-first analytics platform modernization: container platform, clean rooms, encryption, automated deployments, database migration. The engagement ran as fixed-scope SOWs covering container platform foundation, encryption and access controls, modular analytics architecture, observability and CI/CD, and database migration.

The outcomes

5 measurable outcomes shipped across the engagement. The ones that moved the business the most:

30%
reduction in global system latency through Karpenter-driven auto-scaling and…
50%
infrastructure cost savings from spot instances on dev environments and the…
25%
increase in conversion rates for retailers using the platform, driven by…
30%
improvement in customer engagement for retailers using the platform, as the…

30% reduction in global system latency through Karpenter-driven auto-scaling and consistent traffic management so retailers in every region get insights in time to act on them rather than long after the campaign moment has passed

50% infrastructure cost savings from spot instances on dev environments and the move from legacy compute to managed RDS so growth no longer translates into proportional infrastructure spend and the team has more budget for product work

25% increase in conversion rates for retailers using the platform, driven by faster, more accurate campaign insights that let marketing teams optimize advertising spend in time to influence the results rather than after the budget has already been spent

30% improvement in customer engagement for retailers using the platform, as the modular analytics design and clean-room integrations let Sweet Analytics surface customer signals that the previous architecture couldn't deliver

Zero security incidents since cutover with encryption at rest and in transit, fine-grained IAM, and real-time monitoring catching anomalies as they happen rather than after the fact

Built on AWS

The production environment runs on 7 first-party AWS services. Delivered under our AWS Migration and Modernization, DevOps Competency competencies.

Amazon EKSAWS KMSAWS IAMAmazon RDSAWS DMSAmazon S3AWS CodePipeline
AWS Premier Tier PartnerMigration & Modernization ServicesDevOps Consulting CompetencyAmazon EKS DeliveryAmazon RDS Delivery
Validated by AWS

What's next

Extending the modular analytics architecture to support additional data partner categories, building agentic AI capabilities for automated campaign optimization and personalized retailer recommendations, and expanding regional deployment footprint to support new global retailer accounts

Oliver Spark
Oliver Sparkfounder CEO

Want similar outcomes for your platform?

Talk to us about an engagement shaped around the same constraints Sweet Analytics brought to the table. Most start with an AWS-funded discovery and a conversation with an engineer, not a sales exec.